A Multiparent Advanced Generation Inter-Cross to Fine-Map Quantitative Traits in Arabidopsis thaliana

Identifying natural allelic variation that underlies quantitative trait variation remains a fundamental problem in genetics. Most studies have employed either simple synthetic populations with restricted allelic variation or performed association mapping on a sample of naturally occurring haplotypes. Both of these approaches have some limitations, therefore alternative resources for the genetic dissection of complex traits continue to be sought. Here we describe one such alternative, the Multiparent Advanced Generation Inter-Cross (MAGIC). This approach is expected to improve the precision with which QTL can be mapped, improving the outlook for QTL cloning. Here, we present the first panel of MAGIC lines developed: a set of 527 recombinant inbred lines (RILs) descended from a heterogeneous stock of 19 intermated accessions of the plant Arabidopsis thaliana. These lines and the 19 founders were genotyped with 1,260 single nucleotide polymorphisms and phenotyped for development-related traits. Analytical methods were developed to fine-map quantitative trait loci (QTL) in the MAGIC lines by reconstructing the genome of each line as a mosaic of the founders. We show by simulation that QTL explaining 10% of the phenotypic variance will be detected in most situations with an average mapping error of about 300 kb, and that if the number of lines were doubled the mapping error would be under 200 kb. We also show how the power to detect a QTL and the mapping accuracy vary, depending on QTL location. We demonstrate the utility of this new mapping population by mapping several known QTL with high precision and by finding novel QTL for germination data and bolting time. Our results provide strong support for similar ongoing efforts to produce MAGIC lines in other organisms

Genetic mapping of natural variation in a shade avoidance response: ELF3 is the candidate gene for a QTL in hypocotyl growth regulation

When plants become shaded by neighbouring plants, they perceive a decrease in the red/far-red (R/FR) ratio of the light environment, which provides an early and unambiguous warning of the presence of competing vegetation. The mechanistic bases of the natural genetic variation in response to shade signals remain largely unknown. This study demonstrates that a wide range of genetic variation for hypocotyl elongation in response to an FR pulse at the end of day (EOD), a light signal that simulates natural shade, exists between Arabidopsis accessions. A quantitative trait locus (QTL) mapping analysis was done in the Bayreuth×Shahdara recombinant inbred line population. EODINDEX1 is the most significant QTL identified in response to EOD. The Shahdara alleles at EODINDEX1 caused a reduced response to shade as a consequence of an impaired hypocotyl inhibition under white light, and an accelerated leaf movement rhythm, which correlated positively with the pattern of circadian expression of clock genes such as PRR7 and PRR9. Genetic and quantitative complementation analyses demonstrated that ELF3 is the most likely candidate gene underlying natural variation at EODINDEX1. In conclusion, ELF3 is proposed as a component of the shade avoidance signalling pathway responsible for the phenotypic differences between Arabidopsis populations in relation to adaptation in a changing light environment

Collective Effervescence, Self-Transcendence, and Gender Differences in Social Well-Being During 8 March Demonstrations

8 March (8M), now known as International Women’s Day, is a day for feminist claims where demonstrations are organized in over 150 countries, with the participation of millions of women all around the world. These demonstrations can be viewed as collective rituals and thus focus attention on the processes that facilitate different psychosocial effects. This work aims to explore the mechanisms (i.e., behavioral and attentional synchrony, perceived emotional synchrony, and positive and transcendent emotions) involved in participation in the demonstrations of 8 March 2020, collective and ritualized feminist actions, and their correlates associated with personal well-being (i.e., affective well-being and beliefs of personal growth) and collective well-being (i.e., social integration variables: situated identity, solidarity and fusion), collective efficacy and collective growth, and behavioral intention to support the fight for women’s rights. To this end, a cross-cultural study was conducted with the participation of 2,854 people (age 18–79; M = 30.55; SD = 11.66) from countries in Latin America (Mexico, Chile, Argentina, Brazil, Peru, Colombia, and Ecuador) and Europe (Spain and Portugal), with a retrospective correlational cross-sectional design and a convenience sample. Participants were divided between demonstration participants (n = 1,271; 94.0% female) and non-demonstrators or followers who monitored participants through the media and social networks (n = 1,583; 75.87% female). Compared with non-demonstrators and with males, female and non-binary gender respondents had greater scores in mechanisms and criterion variables. Further random-effects model meta-analyses revealed that the perceived emotional synchrony was consistently associated with more proximal mechanisms, as well as with criterion variables. Finally, sequential moderation analyses showed that proposed mechanisms successfully mediated the effects of participation on every criterion variable. These results indicate that participation in 8M marches and demonstrations can be analyzed through the literature on collective rituals. As such, collective participation implies positive outcomes both individually and collectively, which are further reinforced through key psychological mechanisms, in line with a Durkheimian approach to collective rituals.Fil: Zumeta, Larraitz N.. Universidad del País Vasco; EspañaFil: Castro Abril, Pablo. Universidad del País Vasco; EspañaFil: Méndez, Lander. Universidad del País Vasco; EspañaFil: Pizarro, José J.. Universidad del País Vasco; EspañaFil: Włodarczyk, Anna. Universidad Católica del Norte; ChileFil: Basabe, Nekane. Universidad del País Vasco; EspañaFil: Navarro Carrillo, Ginés. Universidad de Jaén; EspañaFil: Padoan De Luca, Sonia. Universidad del País Vasco; EspañaFil: da Costa, Silvia. Universidad del País Vasco; EspañaFil: Alonso Arbiol, Itziar. Universidad del País Vasco; EspañaFil: Torres Gómez, Bárbara. Universidad del País Vasco; EspañaFil: Cakal, Huseyin. Keele University; Reino UnidoFil: Delfino, Gisela Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; ArgentinaFil: Techio, Elza M.. Universidade Federal da Bahia; BrasilFil: Alzugaray, Carolina. Universidad de Santo Tomas; ChileFil: Bilbao, Marian. Universidad Alberto Hurtado; ChileFil: Villagrán, Loreto. Universidad de Concepción; ChileFil: López López, Wilson. Pontificia Universidad Javeriana; ColombiaFil: Ruiz Pérez, José Ignacio. Universidad Nacional de Colombia; ColombiaFil: Cedeño, Cynthia C.. Universidad Politécnica Salesiana; EcuadorFil: Reyes Valenzuela, Carlos. Universidad Andina Simon Bolivar - Sede Ecuador.; EcuadorFil: Alfaro Beracoechea, Laura. Universidad de Guadalajara; MéxicoFil: Contreras Ibáñez, Carlos César. Universidad Autónoma Metropolitana; MéxicoFil: Ibarra, Manuel Leonardo. Universidad Autónoma del Estado de México; MéxicoFil: Reyes Sosa, Hiram. Universidad Autonoma de Coahuila; MéxicoFil: Cueto, Rosa María. Pontificia Universidad Católica de Perú; PerúFil: Carvalho, Catarina L.. Universidad de Porto; PortugalFil: Pinto, Isabel R.. Universidad de Porto; Portuga

Genes to Diseases (G2D) Computational Method to Identify Asthma Candidate Genes

Asthma is a complex trait for which different strategies have been used to identify its environmental and genetic predisposing factors. Here, we describe a novel methodological approach to select candidate genes for asthma genetic association studies. In this regard, the Genes to Diseases (G2D) computational tool has been used in combination with a genome-wide scan performed in a sub-sample of the Saguenay−Lac-St-Jean (SLSJ) asthmatic familial collection (n = 609) to identify candidate genes located in two suggestive loci shown to be linked with asthma (6q26) and atopy (10q26.3), and presenting differential parent-of-origin effects. This approach combined gene selection based on the G2D data mining analysis of the bibliographic and protein public databases, or according to the genes already known to be associated with the same or a similar phenotype. Ten genes (LPA, NOX3, SNX9, VIL2, VIP, ADAM8, DOCK1, FANK1, GPR123 and PTPRE) were selected for a subsequent association study performed in a large SLSJ sample (n = 1167) of individuals tested for asthma and atopy related phenotypes. Single nucleotide polymorphisms (n = 91) within the candidate genes were genotyped and analysed using a family-based association test. The results suggest a protective association to allergic asthma for PTPRE rs7081735 in the SLSJ sample (p = 0.000463; corrected p = 0.0478). This association has not been replicated in the Childhood Asthma Management Program (CAMP) cohort. Sequencing of the regions around rs7081735 revealed additional polymorphisms, but additional genotyping did not yield new associations. These results demonstrate that the G2D tool can be useful in the selection of candidate genes located in chromosomal regions linked to a complex trait

Constraints on the χ_(c1) versus χ_(c2) polarizations in proton-proton collisions at √s = 8 TeV

The polarizations of promptly produced χ_(c1) and χ_(c2) mesons are studied using data collected by the CMS experiment at the LHC, in proton-proton collisions at √s=8  TeV. The χ_c states are reconstructed via their radiative decays χ_c → J/ψγ, with the photons being measured through conversions to e⁺e⁻, which allows the two states to be well resolved. The polarizations are measured in the helicity frame, through the analysis of the χ_(c2) to χ_(c1) yield ratio as a function of the polar or azimuthal angle of the positive muon emitted in the J/ψ → μ⁺μ⁻ decay, in three bins of J/ψ transverse momentum. While no differences are seen between the two states in terms of azimuthal decay angle distributions, they are observed to have significantly different polar anisotropies. The measurement favors a scenario where at least one of the two states is strongly polarized along the helicity quantization axis, in agreement with nonrelativistic quantum chromodynamics predictions. This is the first measurement of significantly polarized quarkonia produced at high transverse momentum

Sociopolitical consequences of COVID-19 in the Americas, Europe, and Asia: A multilevel, multicountry investigation of risk perceptions and support for antidemocratic practices

Although different social crises may eventually favor undemocratic and authoritarian forms of governance, at some point, such antidemocratic practices require the support of a significant part of the population to be implemented. The present research investigates how and whether the COVID-19 pandemic might have favoured greater support for antidemocratic governmental practices, on the premise of regaining control and security. Using data from 17 countries (N = 4364) and national-level indicators (i.e., real number of contagions and deaths, and sociopolitical indicators), we test how the risk of contagion and death from COVID-19, along with personal orientations (i.e., social dominance orientation [SDO], right-wing authoritarianism [RWA], and perceived anomie) motivate authoritarian and antidemocratic practices. Results from multilevel models indicate that risk perception and perceptions of political instability predict a wish for stronger leadership, agreement with martial law, and support for a controlling government especially when SDO and RWA are high, while more egalitarian and less conservative people agree less with these authoritarian measures in spite of the levels of risk perception. We discuss the implications for these findings for future research on similar but also dissimilar external events (natural disasters, war, or terror incidents) and the consequences for societies with higher authoritarian tendencies.Fil: Pizarro, José J.. Universidad Católica del Norte; Chile. Universidad del País Vasco; EspañaFil: Cakal, Huseyin. Keele University; Reino UnidoFil: Méndez, Lander. Universidad del País Vasco; EspañaFil: Zumeta, Larraitz N.. Universidad del País Vasco; EspañaFil: Gracia-Leiva, Marcela. Universidad del País Vasco; EspañaFil: Basabe, Nekane. Universidad del País Vasco; EspañaFil: Navarro-Carrillo, Ginés. Universidad de Jaén; EspañaFil: Cazan, Ana Maria. Transilvania University of Brasov; RumaniaFil: Keshavarzi, Saeed. Independent Researcher; IránFil: López López, Wilson. Pontificia Universidad Javeriana; ColombiaFil: Yahiiaiev, Illia. Taras Shevchenko National University of Kyiv; UcraniaFil: Alzugaray Ponce, Carolina. Universidad Santo Tomas; ChileFil: Villagrán, Loreto. Universidad de Concepción; ChileFil: Moyano Díaz, Emilio. Universidad de Talca; ChileFil: Petrović, Nebojša. University of Belgrade; SerbiaFil: Mathias, Anderson. Universidad Autonoma de Coahuila; MéxicoFil: Techio, Elza M.. Universidade Federal da Bahia; BrasilFil: Wlodarczyk, Anna. Universidad Católica del Norte; ChileFil: Alfaro-Beracoechea, Laura. Universidad de Guadalajara; MéxicoFil: Ibarra, Manuel L.. Universidad Nacional Autónoma de México; MéxicoFil: Michael, Andreas. University of Cyprus; ChipreFil: Mhaskar, Sumeet. O.p. Jindal Global University; IndiaFil: Martínez Zelaya, Gonzalo. Universidad Viña del Mar; ChileFil: Bilbao, Marian. Universidad Alberto Hurtado; ChileFil: Delfino, Gisela Isabel. Universidad Pontificia Comillas; España. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Carvalho, Catarina L.. Universidad de Porto; PortugalFil: Pinto, Isabel R.. Universidad de Porto; PortugalFil: Mohsin, Falak Zehra. Karachi School Of Business And Leadership; PakistánFil: Espinosa, Agustín. Pontificia Universidad Católica de Perú; PerúFil: Cueto, Rosa María. Pontificia Universidad Católica de Perú; PerúFil: Cavalli, Stefano. Scuola Universitaria Professionale Della Svizzera Italiana; ItaliaFil: da Costa, Silvia. Universidad de Zaragoza; EspañaFil: Amutio, Alberto. Universidad Andrés Bello; Chile. Universidad del País Vasco; EspañaFil: Alonso Arbiol, Itziar. Universidad del País Vasco; EspañaFil: Páez, Darío. Universidad Andrés Bello; Chil